Cover Image

Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahmed, Md. Toukir, Monjur, Ocean, Kamruzzaman, Mohammed
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications
by: Ahmed, Md. Toukir, et al.
Published: (2024)

Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry
by: Ahmed, Md. Toukir, et al.
Published: (2024)

A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging
by: Li, Peichao, et al.
Published: (2024)

Advancing dermatological diagnosis: Development of a hyperspectral dermatoscope for enhanced skin imaging
by: Hetz, Martin J., et al.
Published: (2024)

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
by: Fabelo, H., et al.
Published: (2024)

Scalable neural pushbroom architectures for real-time denoising of hyperspectral images onboard satellites
by: Yi, Ziyao, et al.
Published: (2026)

Compressed image quality assessment using stacking
by: Hosseini-Benvidi, S. Farhad, et al.
Published: (2024)

Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fields
by: Li, Shuangliang
Published: (2024)

HyperColorization: Propagating spatially sparse noisy spectral clues for reconstructing hyperspectral images
by: Aydin, M. Kerem, et al.
Published: (2024)

A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
by: Babu, Ganesh, et al.
Published: (2024)

Deep unrolled primal dual network for TOF-PET list-mode image reconstruction
by: Hu, Rui, et al.
Published: (2024)

Leveraging pretrained RGB denoisers for hyperspectral image restoration
by: Picone, Daniele, et al.
Published: (2026)

A study of why we need to reassess full reference image quality assessment with medical images
by: Breger, Anna, et al.
Published: (2024)

Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images
by: Sundaresan, Vaanathi, et al.
Published: (2024)

Deep intra-operative illumination calibration of hyperspectral cameras
by: Baumann, Alexander, et al.
Published: (2024)

Equivariant plug-and-play image reconstruction
by: Terris, Matthieu, et al.
Published: (2023)

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation
by: Sultana, Rebeka, et al.
Published: (2025)

Detection and tracking of gas plumes in LWIR hyperspectral video sequence data
by: Gerhart, Torin, et al.
Published: (2024)

Effectiveness of learning-based image codecs on fingerprint storage
by: Mari, Daniele, et al.
Published: (2024)

Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning
by: Zhou, Jianxin, et al.
Published: (2024)

Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
by: Tweneboah, Anyimadu Daniel, et al.
Published: (2025)

Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement
by: Ahmed, Istiak, et al.
Published: (2024)

GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
by: Cherif, Eya, et al.
Published: (2025)

Deep mineralogical segmentation of thin section images based on QEMSCAN maps
by: de Mello, Jean Pablo Vieira, et al.
Published: (2025)

Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation
by: Meraz, Md, et al.
Published: (2024)

Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning
by: Huang, Hejun, et al.
Published: (2024)

Deep-learning-based groupwise registration for motion correction of cardiac $T_1$ mapping
by: Zhang, Yi, et al.
Published: (2024)

Classification based deep learning models for lung cancer and disease using medical images
by: Chaddad, Ahmad, et al.
Published: (2025)

Benchmarking learned algorithms for computed tomography image reconstruction tasks
by: Kiss, Maximilian B., et al.
Published: (2024)

Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment
by: Chen, Ze, et al.
Published: (2025)

A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
by: Ahad, Md Taimur, et al.
Published: (2024)

Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction
by: Zhang, Hao, et al.
Published: (2023)

Hybrid attention structure preserving network for reconstruction of under-sampled OCT images
by: Guo, Zezhao, et al.
Published: (2024)

Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT
by: Huisman, Selena, et al.
Published: (2024)

The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities
by: Konovalova, Natalia, et al.
Published: (2024)

AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder
by: Huq, Aminul, et al.
Published: (2023)

MADE-for-ASD: A Multi-Atlas Deep Ensemble Network for Diagnosing Autism Spectrum Disorder
by: Liu, Xuehan, et al.
Published: (2024)

Polyp segmentation in colonoscopy images using DeepLabV3++
by: Islam, Al Mohimanul, et al.
Published: (2024)

Metrics that matter: Evaluating image quality metrics for medical image generation
by: Deo, Yash, et al.
Published: (2025)

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
by: Khan, Muazzem Hussain, et al.
Published: (2026)